Tree Species Diversity and Population Structure in the Tropical Forests of North Central Eastern Ghats, India

The tree species diversity and population structure were studied in four stands of the tropical forests in the north-central Eastern Ghats, based on tree inventories conducted on four 1-ha plots. In the four independent plots, two 5 x 1000 m transects were established and all trees with ≥ 15 cm girth at breast height were enumerated. The density, frequency, basal area and IVI along with diversity indices viz. Shannon index, species richness, equitability and species dominance were computed to see the variation in tree community. A total of 92 species representing 73 genera under 40 families of angiosperms were recorded. Tree species richness was as low as 34 species per hectare plot in Geddapalli to as high as 48 species in Koruturu. Tree density ranged from 360 stems per hectare in plot Geddapalli to 526 stems in plot Chintapalli and that of total basal area from 16.31 m2 ha-1 in Koruturu to 31.15 m2 ha-1 in Chintapalli. The number of species and stems decreased from the smaller to the largest girth classes. The tree inventories of the study area when compared to those of the other tropical forests showed great differences in density and basal area. This may probably be due to differences in geography and annual rainfall patterns. The information on tree species structure and function can provide baseline information for conservation of the biodiversity.

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Tree Species Diversity and Population Structure in the Tropical Forests of North Central Eastern Ghats, India

Notulae Scientia Biologicae ◽

10.15835/nsb.6.4.9382 ◽

2014 ◽

Vol 6 (4) ◽

Cited By ~ 3

Author(s):

Dumpa PREMAVANI ◽

Maradana TARAKESWARA NAIDU ◽

Malleboyina VENKAIAH

Keyword(s):

Population Structure ◽

Species Diversity ◽

Tropical Forests ◽

Tree Species ◽

Eastern Ghats ◽

Tree Species Diversity ◽

North Central ◽

Central Eastern

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A Combination of Biotic and Abiotic Factors and Diversity Determine Productivity in Natural Deciduous Forests

Forests ◽

10.3390/f12111450 ◽

2021 ◽

Vol 12 (11) ◽

pp. 1450

Author(s):

Mahmoud Bayat ◽

Pete Bettinger ◽

Sahar Heidari ◽

Seyedeh Kosar Hamidi ◽

Abolfazl Jaafari

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Species Richness ◽

Species Diversity ◽

Tree Species ◽

Abiotic Factors ◽

Basal Area ◽

Forest Productivity ◽

Tree Species Diversity ◽

Artificial Neural

The relative importance of different biotic and abiotic variables for estimating forest productivity remains unclear for many forest ecosystems around the world, and it is hypothesized that forest productivity could also be estimated by local biodiversity factors. Using a large dataset from 258 forest monitoring permanent sample plots distributed across uneven-aged and mixed forests in northern Iran, we tested the relationship between tree species diversity and forest productivity and examined whether several factors (solar radiation, topographic wetness index, wind velocity, seasonal air temperature, basal area, tree density, basal area in largest trees) had an effect on productivity. In our study, productivity was defined as the mean annual increment of the stem volume of a forest stand in m3 ha−1 year−1. Plot estimates of tree volume growth were based on averaged plot measurements of volume increment over a 9-year growing period. We investigated relationships between productivity and tree species diversity using parametric models and two artificial neural network models, namely the multilayer perceptron (MLP) and radial basis function networks. The artificial neural network (ANN) of the MLP type had good ability in prediction and estimation of productivity in our forests. With respect to species richness, Model 4, which had 10 inputs, 6 hidden layers and 1 output, had the highest R2 (0.94) and the lowest RMSE (0.75) and was selected as the best species richness predictor model. With respect to forest productivity, MLP Model 2 with 10 inputs, 12 hidden layers and 1 output had R2 and RMSE of 0.34 and 0.42, respectively, representing the best model. Both of these used a logistic function. According to a sensitivity analysis, diversity had significant and positive effects on productivity in species-rich broadleaved forests (approximately 31%), and the effects of biotic and abiotic factors were also important (29% and 40%, respectively). The artificial neural network based on the MLP was found to be superior for modeling productivity–diversity relationships.

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TREE SPECIES DIVERSITY IN A PRISTINE MONTANE FOREST PREVIOUSLY UNTOUCHED BY HUMAN ACTIVITIES IN FOJA MOUNTAINS, PAPUA, INDONESIA

REINWARDTIA ◽

10.14203/reinwardtia.v17i2.3546 ◽

2018 ◽

Vol 17 (2) ◽

Author(s):

Asep Sadili ◽

Kuswata Kartawinata ◽

Herwasono Soedjito ◽

Edy Nasriadi Sambas

Keyword(s):

Species Diversity ◽

Tree Species ◽

Human Activities ◽

Diversity Index ◽

Basal Area ◽

Montane Forest ◽

Tree Species Diversity ◽

Importance Value ◽

Montane Forests ◽

Species Area

ADILI, A., KARTAWINATA, K., SOEDJITO, H. & SAMBAS, E. N. 2018. Tree species diversity in a pristine montane forest previously untouched by human activities in Foja Mountains, Papua, Indonesia. Reinwardtia 17(2): 133‒154. ‒‒ A study on structure and composition of the pristine montane forest previously untouched by human activities was conducted at the Foja Mountains in November 2008. We established a one-hectare plot divided into 100 subplots of 10 m × 10 m each. We enumerated all trees with DBH ≥ 10 cm which diameters were measured, heights were estimated and habitats were noted. We recorded 59 species, 42 genera and 27 families, comprising 693 trees with the total basal area (BA) of 41.35 m2/ha. The forest had lower species richness compared to those of lowland forests in Kalimantan, and Sumatra and montane forests in West Java. The Shannon-Wiener’s diversity index was 3.22. Nothofagus rubra (Importance Value, IV=47.89%) and Parinari corymbosa (IV=40.3%) were the dominant species, constituting the basis for designating the forest as the Nothofagus rubra - Parinari corymbosa association. To date, the dominance of N. rubra is unique to the Foja Mountains, as elsewhere in Papua the montane forests were dominated by N. pullei or other species. The species-area curve indicated a minimal area of 5000 m2. On the family level Fagaceae (IV=53.23%), Chrysobalanaceae (IV=40.53%) and Myristicaceae (IV=26.43%) were dominant. Verti-cally the forest consisted of four strata (A–D). In each stratum Nothofagus rubra, Platea latifolia, Parinari corymbosa and Myristica hollrungii were dominant. The diameter class distribution of Nothofagus rubra, Parinari corymbosa and Platea latifolia led us to assume that these species were regenerating well.

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Tree species diversity and biomass carbon assessment in undisturbed and disturbed tropical forests of Dibru-Saikhowa biosphere reserve in Assam North-East India

Vegetos- An International Journal of Plant Research ◽

10.1007/s42535-020-00135-4 ◽

2020 ◽

Vol 33 (3) ◽

pp. 516-537

Author(s):

Rajendra Kr. Joshi

Keyword(s):

Species Diversity ◽

Tropical Forests ◽

Tree Species ◽

Biosphere Reserve ◽

Biomass Carbon ◽

Tree Species Diversity ◽

North East India ◽

North East

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The Influence of Tree Structural and Species Diversity on Temperate Forest Productivity and Stability in Korea

Forests ◽

10.3390/f10121113 ◽

2019 ◽

Vol 10 (12) ◽

pp. 1113 ◽

Cited By ~ 2

Author(s):

Juhan Park ◽

Hyun Seok Kim ◽

Hyun Kook Jo ◽

II Bin Jung

Keyword(s):

Species Diversity ◽

Tree Species ◽

Temperate Forest ◽

Temperate Forests ◽

Basal Area ◽

Stand Density ◽

Structural Diversity ◽

Forest Productivity ◽

Tree Species Diversity ◽

Positive Effect

Research Highlights: Using a long-term dataset on temperate forests in South Korea, we established the interrelationships between tree species and structural diversity and forest productivity and stability, and identified a strong, positive effect of structural diversity, rather than tree species diversity, on productivity and stability. Background and Objectives: Globally, species diversity is positively related with forest productivity. However, temperate forests often show a negative or neutral relationship. In those forests, structural diversity, instead of tree species diversity, could control the forest function. Materials and Methods: This study tested the effects of tree species and structural diversity on temperate forest productivity. The basal area increment and relative changes in stand density were used as proxies for forest productivity and stability, respectively. Results: Here we show that structural diversity, but not species diversity, had a significant, positive effect on productivity, whereas species diversity had a negative effect, despite a positive effect on diversity. Structural diversity also promoted fewer changes in stand density between two periods, whereas species diversity showed no such relation. Structurally diverse forests might use resources efficiently through increased canopy complexity due to canopy plasticity. Conclusions: These results indicate reported species diversity effects could be related to structural diversity. They also highlight the importance of managing structurally diverse forests to improve productivity and stability in stand density, which may promote sustainability of forests.

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Assessing Fruit Tree Species Diversity in Home Garden Agro-Forestry and Their Role Supporting Local People’s Livelihoods in Burie District, Ethiopia

Turkish Journal of Agriculture - Food Science and Technology ◽

10.24925/turjaf.v7i7.946-954.1977 ◽

2019 ◽

Vol 7 (7) ◽

pp. 946

Author(s):

Alebachew Abebe Alemu ◽

Habtamu Kiros ◽

Eba Muluneh Sorecha

Keyword(s):

Species Richness ◽

Species Diversity ◽

Tree Species ◽

Fruit Tree ◽

Home Gardens ◽

Home Garden ◽

Cultivated Plants ◽

Tree Species Diversity ◽

Wealth Status ◽

Agro Forestry

Clearing of natural ecosystems and land degradation due to unsustainable agricultural practices are becoming threats to the sustainability and productivity of agricultural systems in Burie town administrative, Amhara National Regional State, Ethiopia. The aim of this paper is therefore to assess the fruit tree species diversity in home garden agro-forestry and their role for supporting local people’s livelihoods in Burie town administration. Cultivated plants of 72 home gardens were surveyed and critical information were collected through questioner and focus group discussion from 12 households. Fruit tree species diversity (expressed in species richness and evenness) in home gardens in the study sites was determined using the Shannon-Weiner Index. The study basically considers the human consumption fruit trees species. A total of 18 fruit tree species represented by 9-genera and 7-families were recorded in home garden agro-forestry within the three wealth status (poor, medium, and rich) of the selected respondents commonly. From all wealth categories, the highest Shannon diversity index was recorded in rich and the lowest was in poor class category. Similarly, the highest species evenness was recorded in rich wealth category. However, there was no significant difference among rich and medium wealth categories for species richness. The study also revealed that age, land hold size, education status is the cause for species diversity in addition to the wealth status in the study area. Older respondents had significantly higher species richness and diversity than youngsters. It has been also found that almost all (100%) of the sampled households harvest and use at least four types of home garden products for various purposes. Lacks of management practices were the factors which puts the species diversity in question in the study area.

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